Machine learning in absorption-based post-combustion carbon capture systems: A state-of-the-art review
The enormous consumption of fossil fuels from various human activities leads to a significant
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
amount of anthropogenic CO 2 emission into the atmosphere, which has already massively …
Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach
Due to the rapid growth of intelligent devices and the Internet of Things (IoT) applications in
recent years, the volume of data that is generated by these devices is increasing …
recent years, the volume of data that is generated by these devices is increasing …
Reinforcement learning interpretation methods: A survey
Reinforcement Learning (RL) systems achieved outstanding performance in different
domains such as Atari games, finance, healthcare, and self-driving cars. However, their …
domains such as Atari games, finance, healthcare, and self-driving cars. However, their …
Designing a hybrid reinforcement learning based algorithm with application in prediction of the COVID-19 pandemic in Quebec
S Khalilpourazari, H Hashemi Doulabi - Annals of Operations Research, 2022 - Springer
Abstract World Health Organization (WHO) stated COVID-19 as a pandemic in March 2020.
Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives …
Since then, 26,795,847 cases have been reported worldwide, and 878,963 lost their lives …
Energy efficient task scheduling in fog environment using deep reinforcement learning approach
S Swarup, EM Shakshuki, A Yasar - Procedia Computer Science, 2021 - Elsevier
The users of cloud span to several types of tasks for various purposes, such as users who
need to accomplish tasks that utilize cloud based on as Infrastructure as a Service. These …
need to accomplish tasks that utilize cloud based on as Infrastructure as a Service. These …
Deep multiphysics: Coupling discrete multiphysics with machine learning to attain self-learning in-silico models replicating human physiology
A Alexiadis - Artificial intelligence in medicine, 2019 - Elsevier
Objectives The objective of this study is to devise a modelling strategy for attaining in-silico
models replicating human physiology and, in particular, the activity of the autonomic nervous …
models replicating human physiology and, in particular, the activity of the autonomic nervous …
An advanced actor critic deep reinforcement learning technique for gamification of WiFi environment
V Shakya, J Choudhary, DP Singh - Wireless Networks, 2023 - Springer
Abstract The Open System Interconnection Model's physical layer implementation contains
several networks including the wireless networks working system over radio waves. Since …
several networks including the wireless networks working system over radio waves. Since …
[PDF][PDF] Exploring the Latest Applications of OpenAI and ChatGPT: An In-Depth Survey.
H Zhang, H Shao - CMES-Computer Modeling in Engineering & …, 2024 - cdn.techscience.cn
OpenAI and ChatGPT, as state-of-the-art language models driven by cutting-edge artificial
intelligence technology, have gained widespread adoption across diverse industries. In the …
intelligence technology, have gained widespread adoption across diverse industries. In the …
AGI (Artificial General Intelligence): Peluang Indonesia Melompat Jauh Ke Depan
JB Bunyamin - Jurnal Sistem Cerdas, 2018 - apic.id
Abstract AGI (Artificial General Intelligence) adalah kecerdasan buatan yang setara dengan
kecerdasan manusia, sehingga semua pekerjaan intelektual manusia bisa digantikan oleh …
kecerdasan manusia, sehingga semua pekerjaan intelektual manusia bisa digantikan oleh …
[PDF][PDF] Generating of Task-Based Controls for Joint-Arm Robots with Simulation-based Reinforcement Learning.
G Kunert, T Pawletta - Simul. Notes Eur., 2018 - researchgate.net
Generating of Task-Based Controls for Joint-Arm Robots with Simulation-based Reinforcement
Learning | SNE 28(4) Page 1 SNET ECHNICAL Note SNE 28(4) – 12/2018 149 Generating of …
Learning | SNE 28(4) Page 1 SNET ECHNICAL Note SNE 28(4) – 12/2018 149 Generating of …